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Radiomic analysis for pretreatment prediction of response to neoadjuvant chemotherapy in locally advanced cervical cancer: A multicentre study 期刊论文
EBIOMEDICINE, 2019, 卷号: 46, 页码: 160-169
作者:  Sun, Caixia;  Tian, Xin;  Liu, Zhenyu;  Li, Weili;  Li, Pengfei;  Chen, Jiaming;  Zhang, Weifeng;  Fang, Ziyu;  Du, Peiyan;  Duan, Hui;  Liu, Ping;  Wang, Lihui;  Chen, Chunlin;  Tian, Jie
收藏  |  浏览/下载：315/0  |  提交时间：2019/12/16
Radiomics  Magnetic resonance imaging  Neoadjuvant chemotherapy  Locally advanced cervical cancer  
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas 期刊论文
JOURNAL OF NEURO-ONCOLOGY, 2018, 卷号: 140, 期号: 2, 页码: 297-306
作者:  Han, Yuqi;  Xie, Zhen;  Zang, Yali;  Zhang, Shuaitong;  Gu, Dongsheng;  Zhou, Mu;  Gevaert, Olivier;  Wei, Jingwei;  Li, Chao;  Chen, Hongyan;  Du, Jiang;  Liu, Zhenyu;  Dong, Di;  Tian, Jie;  Zhou, Dabiao
浏览  |  Adobe PDF(2365Kb)  |  收藏  |  浏览/下载：520/152  |  提交时间：2019/07/12
Lower-grade glioma  1p19q Co-deletion  Prediction  Radiomics  Magnetic resonance imaging  
The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 2, 页码: 906-914
作者:  Qu, Jinrong;  Shen, Chen;  Qin, Jianjun;  Wang, Zhaoqi;  Liu, Zhenyu;  Guo, Jia;  Zhang, Hongkai;  Gao, Pengrui;  Bei, Tianxia;  Wang, Yingshu;  Liu, Hui;  Kamel, Ihab R.;  Tian, Jie;  Li, Hailiang
收藏  |  浏览/下载：266/0  |  提交时间：2019/07/12
Magnetic resonance imaging  Esophageal cancer  Lymph nodes  Metastasis  
Quantitative analysis of diffusion weighted imaging to predict pathological good response to neoadjuvant chemoradiation for locally advanced rectal cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 132, 页码: 100-108
作者:  Tang, Zhenchao;  Zhang, Xiao-Yan;  Liu, Zhenyu;  Li, Xiao-Ting;  Shi, Yan-Jie;  Wang, Shou;  Fang, Mengjie;  Shen, Chen;  Dong, Enqing;  Sun, Ying-Shi;  Tian, Jie
Adobe PDF(2101Kb)  |  收藏  |  浏览/下载：360/51  |  提交时间：2019/07/12
Locally advanced rectal cancer  Neoadjuvant chemoradiotherapy  Organ-preserving strategies  Diffusion weighted imaging  Decision support  
Radiomics-Based Pretherapeutic Prediction of Non-response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2019, 卷号: 26, 期号: 6, 页码: 1676-1684
作者:  Zhou, Xuezhi;  Yi, Yongju;  Liu, Zhenyu;  Cao, Wuteng;  Lai, Bingjia;  Sun, Kai;  Li, Longfei;  Zhou, Zhiyang;  Feng, Yanqiu;  Tian, Jie
收藏  |  浏览/下载：255/0  |  提交时间：2019/07/11
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
作者:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(540Kb)  |  收藏  |  浏览/下载：426/102  |  提交时间：2019/04/30
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
作者:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
Adobe PDF(797Kb)  |  收藏  |  浏览/下载：427/128  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
A Multi-view Deep Convolutional Neural Networks for Lung Nodule Segmentation 会议论文
, Jeju Island, Korea, 2017-7
作者:  Wang, Shuo;  Zhou, Mu;  Gevaert, Olivier;  Tang, Zhenchao;  Dong, Di;  Liu, Zhenyu;  Tian, Jie
浏览  |  Adobe PDF(962Kb)  |  收藏  |  浏览/下载：390/160  |  提交时间：2019/04/30
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
作者:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(2057Kb)  |  收藏  |  浏览/下载：993/614  |  提交时间：2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：465/120  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning